Day 10 of #100Daysoflearning
Today I gained knowledge about the Decision Tree in Machine Learning and learn how Entropy and Gini impurity is helps in purity split.
Day 9 of #100Daysoflearning
Today i learn another machine learning algorithm that is Random Forest and learn about the Bagging and Boosting Techniques.
Day 8 of #100Daysoflearning
Today i study about the KNN Algorithm Which is the simplest algorithm of machine learning and also learn what are the techniques used to optimized this algorithm.
@SarvamAI Hello @SarvamAI team! I’m building a GenAI app using Saaras:v3 for Hinglish speech-to-text. The API cost is a bit high for development. If possible, could you provide some free API credits/tokens to help me continue building and testing?
Day 7 of #100DaysofLearning
From today onwards i am resuming my data science roadmap and today i learn SVM machine learning Algorithms and side by side i work on my GenAI project.
Day 3 of #100Daysoflearning
Today i learn about the Prompt and when i talk about the prompt i mean static, dynamic and prompt templates which looks an easy topic but it's very important when we build an agent or use a pre-build agent.
Day 2 of #100Daysoflearning
Today I learn about the Models like language and embeddings models which is further divided into closed and open source model some of the example of closed source are chatgpt, llama, claude and gemini and HuggingFace is the example of embedding model.